专题：Occupational Health and Safety Research

This cluster of papers focuses on enhancing workplace safety culture and practices, with a particular emphasis on occupational safety, accident prevention, and risk perception. The research covers various aspects of safety culture, safety climate, and organizational factors influencing employee behavior and safety management in industries such as construction.
最新文献
Proceedings of the 2025 International Conference on Engineering Management and Safety Engineering (EMSE 2025)

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Leveraging Artificial Intelligence and Data Science for Enhancing Occupational Safety: A Multidisciplinary Approach to Risk Prediction and Hazard Mitigation in the Workplace

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Artificial intelligence in civil engineering: emerging applications and opportunities

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Australia's national laws for worker psychological health: a policy evaluation and psychosocial safety climate analysis

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AI-driven HRM and managerial competencies: strengthening organizational resilience in Public Administration

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Maritime occupational accidents analysis: A data-driven Bayesian network approach

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Building Resilient Workforces: The Role of Safety and Social Needs in Employee Retention

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Display Design Shapes How Eye Tracking, Workload, and Situation Awareness Predict Team Performance

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Generative AI-driven data augmentation for enhanced construction hazard detection

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Bridging Theory and Practice: A Meta-analysis of Supply Chain Interventions for Resilience in Uncertain Environments

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近5年高被引文献
Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges

review Full Text OpenAlex 664 FWCI14.379

Engineering Psychology and Human Performance

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Machine learning for reliability engineering and safety applications: Review of current status and future opportunities

article Full Text OpenAlex 368 FWCI32.527

Opportunities and Adoption Challenges of AI in the Construction Industry: A PRISMA Review

review Full Text OpenAlex 344 FWCI11.773

Machine learning models for predicting the residual value of heavy construction equipment: An evaluation of modified decision tree, LightGBM, and XGBoost regression

article Full Text OpenAlex 308 FWCI44.3

A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings

article Full Text OpenAlex 264 FWCI25.903

Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016

review Full Text OpenAlex 254 FWCI16.544

The application of XGBoost and SHAP to examining the factors in freight truck-related crashes: An exploratory analysis

article Full Text OpenAlex 244 FWCI28.375

The 2022 National Nursing Workforce Survey

article Full Text OpenAlex 240 FWCI119.347

Machine learning in construction: From shallow to deep learning

article Full Text OpenAlex 238 FWCI21.308